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Application of the radial basis function interpolation to phase extraction from a single electronic speckle pattern interferometric fringe

机译:径向基函数插值在单个电子散斑干涉图条纹相位提取中的应用

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摘要

In this paper, we introduce the radial basis function (RBF) interpolation method to electronic speckle pattern interferometry (ESPI) and propose the RBF interpolation method to obtain unwrapped phase values based on a skeleton map. Because of the excellent approximation properties of the RBF interpolation, the proposed method can extract accurate phase values from a single fringe pattern effectively, even using a simple 3 X 3 mean filter as preprocessing. Using our method, both special filtering methods for ESPI fringes as preprocessing and postprocessing, including a dilatation and erosion algorithm for pruning and connecting and the smooth algorithm for improving the phase values are not needed. We test our method on a computer-simulated and two experimentally obtained poor-quality fringe patterns. The results have demonstrated that our RBF interpolation method works well even under a seriously disconnected skeleton map where it is impossible to apply the widely used, Matlab function grid data interpolation or the backpropagation neural networks method [Appl. Opt. 46, 7475 (2007)].
机译:在本文中,我们将径向基函数(RBF)插值方法引入到电子散斑干涉(ESPI)中,并提出了RBF插值方法以基于骨架图获得未包裹的相位值。由于RBF插值的出色的近似特性,即使使用简单的3 X 3均值滤波器作为预处理,该方法也可以有效地从单个条纹图案中提取准确的相位值。使用我们的方法,既不需要用于ESPI条纹的特殊滤波方法,也可以进行预处理和后处理,包括用于修剪和连接的膨胀和腐蚀算法以及用于改善相位值的平滑算法。我们在计算机模拟和两个实验获得的劣质条纹图案上测试了我们的方法。结果表明,即使在严重断开的骨架图下,我们的RBF插值方法也能很好地工作,在这种情况下,无法应用广泛使用的Matlab函数网格数据插值或反向传播神经网络方法[Appl。选择。 46,7475(2007)]。

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